Scholar
Filippo Lazzati
Google Scholar ID: lIf4g_IAAAAJ
Ph.D. Student, Politecnico di Milano
Citations & Impact
Citations
59
H-index
4
i10-index
2
Publications
8
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Oral presentation at ICML 2023 (top 2.39%)
- Ph.D. Scholarship (MIUR)
- Admission to the Alta Scuola Politecnica honor program 2022/2023 - top 90 students of Politecnico di Milano
- 'Migliori Matricole' award - best freshmen of Politecnico di Milano 2018/2019
- Scholarship award by Municipality of Romano di L.dia 2018 - best high school students
- Top Reviewer award at NeurIPS 2025
- Publications include: 'Learning Utilities from Demonstrations in Markov Decision Processes', 'How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach', 'Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms', 'Towards Theoretical Understanding of Inverse Reinforcement Learning'
Background
- Research interests: Artificial Intelligence and Machine Learning, with a particular focus on Reinforcement Learning. Currently exploring the theoretical and algorithmic aspects of Imitation Learning and Inverse Reinforcement Learning. Additionally, interested in optimization, statistics, and deep learning.
Miscellany
- In his free time, he enjoys sports, particularly skiing and playing tennis. He competed for three years in the prestigious FITP Serie B and two years in Serie C in Italy, and is currently an active player in the national circuit.
